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Traffic Awareness Driver Assistance based on Stereovision, Eye-tracking, and Head-Up Display

Tobias Langner, Daniel Seifert, Bennet Fischer, Daniel Göhring, Tinosch Ganjineh, and Raúl Rojas— 2016

This paper presents a system which constantly monitors the level of attention of a driver in traffic. The vehicle is instrumented and can identify the state of traffic-lights, as well as obstacles on the road. If the driver is inattentive and fails to recognize a threat, the assistance system produces a warning. Therefore, the system helps the driver to focus on crucial traffic situations. Our system consists of three components: computer vision detection of traffic-lights and other traffic participants, an eye tracking device used also for head localization, and finally, a human machine interface consisting of a head-up display and an acoustic module used to provide warnings to the driver. The orientation of the driver's head is detected using fiducial markers visible in video frames. We describe how the system was integrated using an autonomous car as experimental ADAS platform.

TitelTraffic Awareness Driver Assistance based on Stereovision, Eye-tracking, and Head-Up Display
VerfasserTobias Langner, Daniel Seifert, Bennet Fischer, Daniel Göhring, Tinosch Ganjineh, and Raúl Rojas
VerlagIEEE Xplore
Thematraffic awareness, stereovision, eye-tracking, head-up display
Datum201605
KennungDOI:10.1109/ICRA.2016.7487485; ISBN: 978-1-4673-8025-6
Quelle/n
Erschienen inProceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, May 16-21, 2016.
Größe oder Länge3167 - 3173
RechteCopyright by IEEE. When citing this work cite the original link.